New York University

How this program compares

New York University's Online MS in Emerging Technologies - ML & AI lists about $72.8K total tuition — about 70% above the $42.9K AI master's average (86th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and proficiency in programming (e.g., Python), linear algebra, calculus, and probability.

About This Program

This online master's degree empowers students to customize their education by selecting high-demand concentrations in emerging technical fields like machine learning. Most students complete it in about 2 years.

Estimated total tuition is $72.8K, above the $42.9K average for AI master's programs in our database and in the 86th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in higher than about 71% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.

Design and implement machine learning models for real-world applications.

Career Outcomes

Graduates of New York University's Online MS in Emerging Technologies - ML & AI most often target Machine Learning Engineer roles, where reported compensation runs around $140,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist (AI focus)
• 4. Applied AI Specialist

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to image, text, and sequential data
• Evaluate AI systems for ethical implications and societal impact
• Develop AI solutions integrating emerging technologies like NLP and computer vision

Curriculum Highlights

The flexible structure requires 30 credits, allowing students to combine core technology modules with specialized electives in robotics, data science, or cybersecurity.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as finance firms, healthcare companies, and AI startups.

Admissions

Admission to New York University's Online MS in Emerging Technologies - ML & AI generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions